We're partnering with a specialist technology consultancy that is building a high-growth Databricks practice across Australia and the wider APAC region.
This is an chance to become the technical anchor of the practice—owning enterprise architecture, leading major transformation programs and helping build the capability from the ground up.
This is not a diagram-only architecture role. We're looking for someone who can confidently present to CTOs and architecture boards while remaining hands‐on enough to diagnose Spark performance issues and guide engineering teams through complex delivery challenges.
What you'll be doing
Owning end-to-end architecture across enterprise Databricks engagements
Designing secure, scalable and high-performing Lakehouse platforms
Leading large-scale cloud, data warehouse, ETL and Hadoop migrations
Driving discovery, solution design, estimation, PoCs, RFPs and proposals
Presenting and defending architecture decisions to senior stakeholders
Establishing engineering standards and leading design and code reviews
Mentoring engineers and developing the wider Databricks capability
Creating reusable accelerators and go-to-market offerings
Remaining hands‐on with Spark performance, debugging and optimisation
What we're looking for




12+ years of experience in data engineering or data architecture
3+ years delivering Databricks solutions at enterprise scale
Deep expertise in Apache Spark, Delta Lake and Lakehouse architecture
Strong Python and SQL skills, with Scala highly regarded
Experience with Unity Catalog, Databricks Workflows, Lakeflow/DLT, Airflow or ADF
Demonstrated leadership of major migration or modernisation programs
Strong presales, estimation and executive stakeholder capability
Experience mentoring engineers and establishing architecture standards
Databricks professional certification or Solution Architect accreditation preferred
Why consider it?
Permanent position based in Sydney
Australian-standard employee benefits
Opportunity to shape and grow a Databricks practice
Influence across architecture, delivery and go-to-market strategy
Exposure to major enterprise transformation programs
Hands‐on technical leadership with genuine decision‐making authority
Candidates must be available immediately or have a maximum notice period of 30 days.
The selection process includes two technical interviews followed by one client interview with Databricks.
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📌 Chief Architect - Data Engineering (Databricks Practice) (Sydney)
🏢 Kaliba
📍 Sydney